Football Players Market Value Prediction

This project predicts the market value of football players using machine learning models. The model is trained on various features such as player position, team, and other relevant data to estimate a player's market value. All the codes are publicly available on This repo

Live Deployment

You can try out the live demo of the model here.

Features

• Select player position to view specific inputs.
• Input player details.
• Predict and compare the market value with the actual values.
• Suggest similar players based on the prediction. (developing)

Setup

1. Clone the repository:

   git clone https://github.com/paudelsamir/Football-Players-Market-Value-Prediction.git
   cd Football-Players-Market-Value-Prediction

2. Install dependencies:

   pip install -r requirements.txt

3. Run the app:

   streamlit run app.py